A5053687632- Geochemistry and Geologic Mapping
- Geological Modeling and Analysis
- Geoscience and Mining Technology
- Mineral Processing and Grinding
- Speech and Audio Processing
- Geochemistry and Geochronology of Asian Mineral Deposits
- Evaluation Methods in Various Fields
- Advanced X-ray and CT Imaging
- Blind Source Separation Techniques
- Reinforcement Learning in Robotics
- Geographic Information Systems Studies
- Educational Technology and Assessment
- Birth, Development, and Health
- Adaptive Dynamic Programming Control
- Neonatal Respiratory Health Research
- Geological and Geophysical Studies
- Methane Hydrates and Related Phenomena
- Data Stream Mining Techniques
- Rough Sets and Fuzzy Logic
- Bayesian Modeling and Causal Inference
- Landslides and related hazards
- Image Processing and 3D Reconstruction
- Hydrocarbon exploration and reservoir analysis
- Spectroscopy and Chemometric Analyses
- Metal Extraction and Bioleaching
Jilin University
2008-2025
Union Hospital
2025
Jilin Province Science and Technology Department
2008-2024
Ministry of Industry and Information Technology
2022
Ministry of Natural Resources
2021-2022
Chongqing University
2021
University of Portsmouth
2013
Duke Medical Center
2013
First Hospital of Jilin University
2013
Washington University in St. Louis
2013
The cross section is the basic data for building 3D geological models. It inefficient to draw a large number of sections build an accurate model. This paper reports use multi-source and heterogeneous data, such as maps, gravity aeromagnetic by conditional generative adversarial network (CGAN) implements intelligent generation method overcome problem modeling based on CGAN. Intelligent are carried out in three different areas Liaoning Province. results show that: (a) accuracy proposed higher...
Over the years, many geological exploration reports and considerable data have been accumulated during prospecting of Jiapigou gold metallogenic belt (JGMB). It is very important to fully utilize these mineralogical big guide future exploration. This work collects original textual different deposits in JGMB constructs a knowledge graph (KG) for based on deep learning (DL) natural language processing (NLP). Based characteristics deposits, visual construction method KG calculation similarity...
The types, causes and image properties of the defective damaged chips are been analyzes. On basis analyzing properties, Bayesian classifier identification method proposed. Based on decision theory, five kinds features such as number light spot, dark edge block area applied. Normal distribution is made use to building studying correction strategy model. In process identification, dynamical model parameters completion make have some degree self-learning feature higher accuracy. Keywords:...
This paper p roposes a new method of daptive meraging, which synthesises both filtering and werlapping averaging methods to dispose evoked potentials (EP's). we have considered the noise induced by weights vector error presented rectifying f actor imprwe estimation character: The number samples needed is less than conventional eraging effect has an improrement obviously. Theoretical analysis practical results indicate that this adaptive aeraging algorithm kind promising practicable for...
Abstract Artificial intelligence algorithm has developed rapidly in recent years, and deep learning become the research hotspot of many scholars. is just developing geology, especially metallogenic prediction. In this work, 1:250000 aeromagnetic data image a certain area used to predict gold deposit, good results are obtained.
Abstract China is a large agricultural country, shouldering the heavy responsibility of production, facing great pressure and challenges under influence geological disasters. Frequent disasters have serious impact on people’s production life. The complex structure areas, especially wide distribution number regional fault structures, lack popularization disaster knowledge among rural residents, also an important cause Fault interpretation core interpretation. efficiency degree directly affect...